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Elasticsearch Jobs (NOW HIRING)

ElasticSearch Sonsoft, Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software ...

Leidos has an exciting opportunity for a Elasticsearch Systems Engineer (SME) in our Intel Security Sector's Analysis Solutions Business Area . Our talented team is at the forefront in Security ...

Atleast 4 years of experience in Elasticsearch * Analytical and Communication skills * project and talent management * Experience with project management * Experience and desire to work in a ...

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How much do elasticsearch jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for elasticsearch in the United States is $67.93, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $74.28 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of an Elasticsearch Engineer?

As an Elasticsearch Engineer, your day-to-day tasks often include designing, deploying, and maintaining Elasticsearch clusters, optimizing data indexing and search queries, monitoring system health, and troubleshooting performance issues. You'll frequently collaborate with software developers, data engineers, and DevOps teams to integrate Elasticsearch with various applications and streamline data flows. Proactively implementing security best practices and ensuring data integrity are also part of the role. Being hands-on with monitoring tools and regularly participating in code reviews or technical discussions are common aspects of the work environment.

What are the key skills and qualifications needed to thrive in the Elasticsearch position, and why are they important?

To thrive as an Elasticsearch Engineer, you need strong expertise in distributed systems, search algorithms, and a deep understanding of Elasticsearch architecture, typically supported by a background in computer science or related fields. Familiarity with tools such as Kibana, Logstash, Beats, and proficiency in scripting languages like Python or Java are crucial, and Elasticsearch certification is highly valued. Analytical thinking, problem-solving abilities, and strong communication skills set outstanding professionals apart in this field. These competencies ensure effective management, optimization, and troubleshooting of search infrastructure critical to business operations.

What does an Elasticsearch job entail?

An Elasticsearch job typically involves designing, implementing, and managing search and analytics solutions using Elasticsearch. Responsibilities may include indexing large datasets, optimizing search queries, maintaining cluster performance, and ensuring data availability. Professionals in this role often work with technologies like Kibana, Logstash, and Beats to analyze and visualize data. Strong knowledge of distributed systems, query performance tuning, and security best practices is essential.

More about Elasticsearch jobs
What cities are hiring for Elasticsearch jobs? Cities with the most Elasticsearch job openings:
What are the most commonly searched types of Elasticsearch jobs? The most popular types of Elasticsearch jobs are:
What states have the most Elasticsearch jobs? States with the most job openings for Elasticsearch jobs include:
Infographic showing various Elasticsearch job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $141,299 per year, or $67.9 per hour.
Elasticsearch Engineer

Elasticsearch Engineer

Absolute Business Solutions Corp

Bethesda, MD • On-site, Remote

Other

Medical, Retirement, PTO

Posted 29 days ago


Job description

ABSC is seeking an Elasticsearch Engineer working with a dynamic team to design, develop and deploy a state-of-the-art technology stack supporting the DIA-NMEC DOMEX Data Discovery Platform (D3P). Under this multi-Task Order 10-year contract, we support DOMEX Data Discovery Platform (D3P) Modernization program as well as NMECs mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. As a Senior Elasticsearch Engineer, you will play a pivotal role in designing, implementing, and optimizing our Elasticsearch infrastructure to support our growing data and search needs. You will collaborate with cross-functional teams to ensure the reliability, performance, and scalability of our Elasticsearch clusters. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables. If you are ready to join ABSC in enabling DIAs NMEC to provide critical and unique capabilities to the Intelligence Community, apply today!

Responsibilities include, but are not limited to:

As an integral member of the team, you will work closely with other infrastructure, network engineers, and system engineers on the following key tasks:

  • Design, implement and manage Elasticsearch clusters to support large-scale data indexing and search operations.
  • Optimize Elasticsearch performance by fine-tuning configurations, query optimizations, and cluster scaling.
  • Monitor Elasticsearch clusters for health, performance, and security, and implement proactive measures to ensure system stability.
  • Collaborate with software development and DevOps teams to integrate Elasticsearch into our applications and workflows.
  • Troubleshoot and resolve complex Elasticsearch-related issues, ensuring minimal downtime and data loss.
  • Implement security best practices for Elasticsearch, including access controls, authentication, and encryption.
  • Stay up-to-date with Elasticsearch and ELK Stack (Elasticsearch, Logstash, Kibana) developments and recommend upgrades or enhancements.
  • Mentor and provide guidance to junior team members, sharing knowledge and best practices.
  • Document configurations, procedures, and best practices for Elasticsearch administration.

Experience and education required for this role:

You demonstrate clear devotion to the DevOps and Infrastructure as Code (IaC) mindset and meet the following qualifications:

  • Bachelors Degree and 8+ years of proven experience as an Engineer, 3-5 years experience as an Elasticsearch Engineer, or Masters with 1-2 years of proven experience as an Elasticsearch Engineer. Years' of experience will be considered in lieu of a degree.
  • Must possess an Active TS/SCI clearance and ability to obtain CI Poly
  • Experience in system integrations testing through a full system development life cycle, including implementing test plans, test cases and test processes.
  • Strong expertise in Elasticsearch cluster design, performance tuning, and optimization
  • Proficiency in Elasticsearch query DSL and search query optimization.
  • Experience with Logstash, Kibana, Metricbeats, and Filebeats is a plus.
  • Knowledge of Elasticsearch security practices, including role-based access control and SSL/TLS.
  • Scripting and automation skills with tools like Python, Bash, or Ansible.
  • Familiarity with cloud platforms like AWS.
  • Working in an Agile project management environment
  • Experience documenting test results for corrective actions, reporting and audits
  • Strong verbal and written communication skills
  • Enthusiastic with the ability to work well on a team and a self-starter who can work on their own

Desired experience for this role:

  • Knowledge of Atlassian software such as JIRA, JIRA Service Desk, and Confluence
  • Experience with data engineering tools such as Kubernetes/Rancher, Cloudera
  • Experience with scripting languages, CI/CD tools, like Jenkins or Gitlab
  • Experience working in an air-gapped environments
  • Experience working in large computing environments (> 1,000 end-points)
  • Experience maintaining AI/ML environments (NVIDIA hardware and software)
  • Experience maintaining large data (Petabyte) environments and storage solutions
  • Experience with advanced Linux network hardware (eg: Mellanox Network Cards)

Who we are:
ABSC is a technology and services company that combines the agility of a small business with proven processes refined over more than two decades in business. We specialize in supporting public sector clients in the Intelligence, Defense, Health, and Safety areas. Our team stands ready to deliver the next generation of programs, personnel, and solutions to help advance our federal government customers driving innovation, agility, and security across all mission areas.

Some of our benefits include:

Generous PTO plus 11 Federal Holidays

Retirement Planning 401k Fully Vested with Match

Annual Health and Wellness Allowance buy an Apple Watch, a treadmill, or hit the gym on us

Career Development Annual Funds to spend on Education and Training

Volunteer Time Off Annually, all employees can spend 8 hours directly supporting a charity of choice

Charitable Match ABSC matches an employees donation to a qualifying charity

Referral Program We pay for internal and external referrals!

LOV Awards Earn bonus awards throughout the year from our Living Our Values awards program

Apply to join our team today! We are always looking to grow our team - if you know someone who is seeking a new career opportunity, please share this job opening with them! ABSC offers generous external referral bonuses. You dont need to be an employee to benefit from our Referral Program!

*ABSC is a proud V3, Virginia Values Vets, member which recognizes our commitment to hiring Veterans. If you are a veteran, please be sure to include that in your application. Thank you! *

Equal Opportunity Employer, including veterans and individuals with disabilities.